ZipRecruiter

Log In

1

Manager Causal Inference Jobs in Colorado (NOW HIRING)

INSPYR Solutions

Data Analyst

Almont, CO · On-site

$70 - $73/hr

Apply causal inference techniques -- including difference-in-differences, propensity score matching ... Partner with Product Managers, Engineers, and Marketers to scope experiments, define success ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build ... Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to ...

Garmin Ltd.

Data Scientist 1

Louisville, CO · On-site

$85 - $115/hr

Experience with structured database management systems * Experience with time series analysis, NLP ... Understanding of A/B testing and causal inference * Experience in working with unstructured data ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO · On-site

... inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation at ... causal inference. * Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO

... inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation at ... causal inference. * Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML ...

New

Natural Grocers

Senior Marketing Analyst

Denver, CO

$80K - $90K/yr

Manage ad hoc analyses, executive requests, and strategic projects that support organizational ... and causal inference methodologies. * Business Skills * Strong understanding of marketing ...

Natural Grocers

Senior Marketing Analyst

Denver, CO

$80K - $90K/yr

Manage ad hoc analyses, executive requests, and strategic projects that support organizational ... and causal inference methodologies. * Business Skills * Strong understanding of marketing ...

Natural Grocers

Senior Marketing Analyst

Lakewood, CO · On-site

$80K - $90K/yr

Manage ad hoc analyses, executive requests, and strategic projects that support organizational ... and causal inference methodologies. * Business Skills * Strong understanding of marketing ...

Natural Grocers

Senior Marketing Analyst

Lakewood, CO · On-site

$80K/yr

Manage ad hoc analyses, executive requests, and strategic projects that support organizational ... and causal inference methodologies. * Business Skills * Strong understanding of marketing ...

next page

Showing results 1-20

All JobsCausal Inference JobsManager Causal Inference JobsManager Causal Inference Jobs in Colorado

Manager Causal Inference information

How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a manager causal inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager causal inference?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
What are the most commonly searched types of Causal Inference jobs in Colorado? The most popular types of Causal Inference jobs in Colorado are:
What are popular job titles related to Manager Causal Inference jobs in Colorado? For Manager Causal Inference jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Colorado look for? The top searched job categories for Manager Causal Inference jobs in Colorado are:
What cities in Colorado are hiring for Manager Causal Inference jobs? Cities in Colorado with the most Manager Causal Inference job openings:
Manager Causal Inference jobs near you
Infographic showing various Manager Causal Inference job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Analyst

INSPYR Solutions

Almont, CO • On-site

$70 - $73/hr

Other

Medical, Retirement

Posted 25 days ago

Job description

Title: Data Analyst
Location: Orlando, FL (Hybrid 4/1)
Duration: 12+ month contract
Compensation: $70.00 - $73.00/hr
Work Requirements: , Holders or Authorized to Work in the U.S.
Data Analyst
The ideal candidate combines strong statistical fundamentals with hands-on experience with statistics, machine learning and AI; and is comfortable owning experiments end-to-end (design, instrumentation review, analysis, readout), and can clearly communicate methodology and results to both technical and non-technical audiences.
Responsibilities
  • Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives.
  • Apply causal inference techniques — including difference-in-differences, propensity score matching, synthetic control, regression discontinuity, and instrumental variables — for scenarios where randomized experiments aren''t feasible.
  • Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context.
  • Calculate sample size and power requirements, and advise stakeholders on minimum detectable effect, test duration, and experiment feasibility before launch.
  • Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy, statsmodels) to standardize experiment analysis and reduce time-to-insight.
  • Write and optimize SQL to extract, transform, and validate experiment and behavioral data from large, complex datasets.
  • Partner with Product Managers, Engineers, and Marketers to scope experiments, define success metrics and guardrail metrics, and ensure proper randomization and instrumentation.
  • Proactively identify data quality issues, sample ratio mismatches, novelty effects, and other threats to experiment validity, and flag them before they affect decisions.
  • Communicate experiment design, methodology, and results clearly to stakeholders with varying levels of technical expertise, through written reports and presentations.
  • Build dashboards and visualizations (e.g., in Tableau, Looker, or Python plotting libraries) to track experiment health and results in near real time.
  • Contribute to the evolution of the company''s experimentation platform, standards, and playbooks.
Required Qualifications
  • Bachelor''s or Master''s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of hands-on experience in data analysis, with 3+ years specifically designing and analyzing A/B tests or experiments in an industry setting.
  • Strong proficiency in Python for statistical analysis and data manipulation (pandas, numpy, scipy, statsmodels, or similar).
  • Demonstrated expertise in statistical hypothesis testing (t-tests, chi-square, ANOVA) and in causal inference methods beyond simple A/B testing (e.g., diff-in-diff, matching methods, regression discontinuity, uplift modeling)
  • Practical understanding of experimental design concepts: randomization, power analysis, minimum detectable effect, novelty/primacy effects, network effects, and common pitfalls (e.g., peeking, multiple comparisons, Simpson''s paradox).
  • Ability to translate ambiguous business questions into rigorous, testable analyses and communicate the resulting trade-offs clearly.
  • Experience presenting technical findings to non-technical stakeholders, including executives, in a clear and compelling way.
  • Comfort working with large, sometimes messy, real-world data and identifying/troubleshooting data integrity issues.
Desired Qualifications
  • Experience with experimentation platforms (e.g., Adobe [preferred], Optimizely, Statsig, GrowthBook, or in-house tooling) and/or building internal experimentation frameworks.
  • Familiarity with Bayesian statistics and sequential/always-valid testing methods.
  • Experience with version control (Git) and writing production-quality, reusable analysis code.
  • Background in a consumer product, subscription, streaming, or e-commerce environment.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Exposure to experimental design in marketing (e.g., geo-testing, media mix modeling) in addition to product experimentation.
 
Our benefits package includes: 
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • …and much more!
 
About INSPYR Solutions
 
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 
 
 

Apply